Raytheon Company

Valeri I Karlov

John D Hulsmann

Aaron Maestas

Julian S Brody

Anthony M Sommese

Patrick E Barry

Steven A Miles

Christopher J Cormier

Adam C Durst

Jason R Mcmurtrey

Owen Lewis

A method for determining positions of moving targets in unbiased three-dimensional (3D) measurement spaces using data collected against the moving targets by an electro-optical or infrared (EO/IR) sensor, the method comprising receiving data collected from electrical signals reflected from the moving targets in a first focal plane of the EO/IR sensor at a first time point, receiving data collected from electrical signals reflected from the moving targets in a second focal plane of the EO/IR sensor at a second time point, generating two-dimensional (2D) measurement data for the moving targets in the first and second focal planes, calculating 3D target velocities for the moving targets using the 2D measurement data, and estimating local 3D positions within a first unbiased 3D measurement space for the moving targets at the first and second time points based on the 3D target velocity.

System and method for single-sensor multi-target 3D tracking in an unbiased measurement space

System and method for determining a position of a target in an unbiased 3D measurement space: generating 2D measurement data in focal planes of each sensor; calculating a line of sight (LOS) from the target for each sensor; intersecting the LOSs and finding the closest intersection point in a 3D space; calculating a boresight LOS in 3D for each sensor; intersecting the boresight lines of sights for each sensor, and finding the closest intersection point in the 3D space to define an origin for forming the unbiased 3D measurement space; and forming local unbiased 3D estimates of the position of the target in the unbiased 3D measurement space as a difference between a closest point of the target LOS and a closest point of the boresight LOS.

System and method for multi-sensor multi-target 3D fusion using an unbiased measurement space

Technology for determining a position of a platform is described. A location of a horizon line can be determined using a sensor onboard the platform. One or more celestial objects in the sky can be detected using the sensor onboard the platform. Differential angular measurements between the horizon line and at least one of the celestial objects in the sky can be determined over a duration of time. The position of the platform can be determined based on the differential angular measurements between the horizon line and the celestial objects.

Synthetic digital sextant for navigation

A method for locating features in a field of view of an imaging sensor that includes receiving image data from the field of view of an imaging sensor, wherein the image data includes a plurality of image frames. The method also includes receiving three-dimensional position measurements, in an absolute coordinate system, for the imaging sensor at the point in time each image frame is acquired and identifying one or more features in each of the image frames. The method also includes determining position and velocity of the one or more features in the image frames based on changes to the one or more features between the image frames and determining three-dimensional positions of the one or more features in the image frames based on the received three-dimensional position measurements for the imaging sensor and position and velocity of the one or more features in the image frames.

Video-assisted target location

Growing community of inventors

Stony Brook, NY, United States of America

Valeri I Karlov